Intermittent Information-Based Disturbance Observer Design and Recursive Depth Control for AUVs With Packet Losses

Achieving precise depth control of autonomous underwater vehicles (AUVs) poses a considerable challenge owing to packet losses and ocean current disturbances. Consequently, there is an urgent necessity to investigate methods for anti-disturbance depth control of AUVs in scenarios that involve packet losses. In contrast to traditional disturbance estimation techniques that depend on complete state information, which rely on complete states, we propose an intermittent information-based disturbance observer, which leverages most recent data packet to compensate for any current data losses. The novel feature of this new anti-disturbance control lies in its consideration of the issue of information intermittency and its dynamic selection of gains with or without packet losses. Through integration of estimated disturbances, a PI recursive controller has been developed to effectively track desired depth of AUVs. In addition, a stability criterion has been established using the Lyapunov stability theory and stochastic analysis techniques, with calculation of the possibility that the Lyapunov function is bounded through Chebyshev’s inequality. Finally, comprehensive simulations have been performed to demonstrate the tracking effectiveness of the proposed algorithm, and its real-world applicability and reliability have also been confirmed through experimental trials.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2025-05-19
DOI
https://doi.org/10.1109/tcsi.2025.3568021
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Intermittent Information-Based Disturbance Observer Design and Recursive Depth Control for AUVs With Packet Losses

Qin Wang, Yang Yi, Junzhi Yu, Jun Yang et al.
IEEE Transactions on Circuits and Systems I Regular Papers
Underwater Vehicles and Communication Systems
article

Intermittent Information-Based Disturbance Observer Design and Recursive Depth Control for AUVs With Packet Losses

Qin Wang, Yang Yi, Junzhi Yu, Jun Yang, Weixin Wang
article en

Abstract

Achieving precise depth control of autonomous underwater vehicles (AUVs) poses a considerable challenge owing to packet losses and ocean current disturbances. Consequently, there is an urgent necessity to investigate methods for anti-disturbance depth control of AUVs in scenarios that involve packet losses. In contrast to traditional disturbance estimation techniques that depend on complete state information, which rely on complete states, we propose an intermittent information-based disturbance observer, which leverages most recent data packet to compensate for any current data losses. The novel feature of this new anti-disturbance control lies in its consideration of the issue of information intermittency and its dynamic selection of gains with or without packet losses. Through integration of estimated disturbances, a PI recursive controller has been developed to effectively track desired depth of AUVs. In addition, a stability criterion has been established using the Lyapunov stability theory and stochastic analysis techniques, with calculation of the possibility that the Lyapunov function is bounded through Chebyshev’s inequality. Finally, comprehensive simulations have been performed to demonstrate the tracking effectiveness of the proposed algorithm, and its real-world applicability and reliability have also been confirmed through experimental trials.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(11)
Loughborough University (GB), Peking University (CN), State Key Laboratory of Turbulence and Complex Systems, Yangzhou University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 87%
Underwater Vehicles and Communication Systems
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